Instructions to use kadasterdst/idcard-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kadasterdst/idcard-test with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kadasterdst/idcard-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 457d522e9277048db9ba256feb1ea360f172229cd0cc7aeef58f8e33160fd79b
- Size of remote file:
- 5.59 MB
- SHA256:
- ab6babd14589a2cd6d4b8d0e1afe4782a159cec16bdeac04509e524482a10be9
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